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Wonjoon Kim
Researcher at Seoul National University
Publications - 36
Citations - 606
Wonjoon Kim is an academic researcher from Seoul National University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 8, co-authored 32 publications receiving 202 citations. Previous affiliations of Wonjoon Kim include Dongduk Women's University & North Carolina State University.
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Journal ArticleDOI
Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM
Parvathaneni Naga Srinivasu,Jalluri Gnana SivaSai,Muhammad Fazal Ijaz,Akash Kumar Bhoi,Wonjoon Kim,James Jin Kang +5 more
TL;DR: In this article, the authors proposed a computerized process of classifying skin disease through deep learning based MobileNet V2 and Long Short Term Memory (LSTM), which proved to be efficient with better accuracy that can work on lightweight computational devices.
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Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach.
TL;DR: A structural equation model (SEM) that describes hypothesized relationships among factors affecting trust in human-robot interaction such as trustworthiness, human-likeness, intelligence, perfect automation schema (PAS), and affect showed a correlation between intelligence andtrustworthiness, as well as between PAS and trustworthiness.
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Mining affective experience for a kansei design study on a recliner
TL;DR: The findings suggest that text mining techniques and the SOM can be used to gather and analyze customers' affective experiences effectively and efficiently and enhance an understanding of customers' emotions regarding recliners.
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Classification of Children’s Sitting Postures Using Machine Learning Algorithms
TL;DR: The convolutional neural network (CNN) algorithm was used in addition to the conventional algorithms: Naïve Bayes classifier, decision tree, neural network, multinomial logistic regression (MLR), and support vector machine to develop a system for classifying sitting postures for children using machine learning algorithms.
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Estimation of stature from hand and foot dimensions in a Korean population.
TL;DR: Hand and foot dimensions can be used to predict the stature of South Korean in the forensic science field, according to a total of 5,195 South Korean males and females.